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Prostate cancer pathologic step prediction method based on deep learning

机译:基于深度学习的前列腺癌病理步骤预测方法

摘要

The present invention relates to a prostate cancer pathologic step prediction method based on deep learning. A prostate cancer pathologic step prediction method based on deep learning according to the present invention is to predict the pathologic stage of prostate cancer using an artificial intelligence neural network trained through deep learning. The prostate cancer pathologic step prediction method includes: a step of deriving a first result value by inputting variables influencing prostate cancer to an artificial intelligence neural network with different weights for each pathologic step; and a step of inputting the first result value again to the formula value of the artificial intelligence neural network and deriving a second result value while changing the weight value.
机译:本发明涉及基于深度学习的前列腺癌病理步骤预测方法。根据本发明的基于深度学习的前列腺癌病理步骤预测方法是使用通过深度学习训练的人工智能神经网络来预测前列腺癌的病理阶段。前列腺癌病理步骤预测方法包括:通过将影响前列腺癌的变量输入到针对每个病理步骤具有不同权重的人工智能神经网络来得出第一结果值的步骤;再次将第一结果值输入至人工智能神经网络的公式值,并在改变权重值的同时推导第二结果值的步骤。

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